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Examining the Role of Social Feedbacks and Misperception in a Model of Fish-Borne Pollution Illness

In: Mathematical and Computational Approaches in Advancing Modern Science and Engineering

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  • Michael Yodzis

    (University of Guelph)

Abstract

Pollution-induced illnesses are caused by toxicants that result from human activity and should be entirely preventable. However, social pressures and misperceptions can undermine the efforts to limit pollution, and vulnerable populations can remain exposed for decades. We present a Human-environment system human-environment system model for the effects of water pollution on the health and livelihood of a fishing community. The model includes dynamic social feedbacks that determine how effectively the population recognizes the injured and acts to reduce its pollution exposure. Our work is motivated by a historical incident from 1949 to 1968 in Minamata, Japan where methylmercury effluent from a local factory poisoned fish populations and humans who ate them. We will discuss the conditions that allow for the outbreak of a Pollution epidemic pollution-induced epidemic, and explore the role that misperception plays in allowing it to persist.

Suggested Citation

  • Michael Yodzis, 2016. "Examining the Role of Social Feedbacks and Misperception in a Model of Fish-Borne Pollution Illness," Springer Books, in: Jacques Bélair & Ian A. Frigaard & Herb Kunze & Roman Makarov & Roderick Melnik & Raymond J. Spiteri (ed.), Mathematical and Computational Approaches in Advancing Modern Science and Engineering, pages 341-351, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-30379-6_32
    DOI: 10.1007/978-3-319-30379-6_32
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